{"id":"W2272924529","doi":"10.1103/physreve.93.022309","title":"Dynamical network model for age-related health deficits and mortality","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Demography; Gerontology; Psychology; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007831387,0.0007135206,0.0007967983,0.000794003,0.0004922246,0.0009686886,0.001547771,0.00174167,0.006668414],"category_scores_gemma":[0.003386956,0.0003330101,0.0006641052,0.0006319059,0.0009272917,0.001537901,0.0009814819,0.001257387,0.0006764715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829659,"about_ca_system_score_gemma":0.0007666514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01781168,"about_ca_topic_score_gemma":0.01231683,"domain_scores_codex":[0.9996902,0.0001114433,0.00001234593,0.00009540291,0.00003854185,0.0000521712],"domain_scores_gemma":[0.9988762,0.0006500582,0.0001859927,0.00003756639,0.0001433003,0.0001070106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005529696,0.00003884451,0.002442925,0.00003937938,0.00005170924,0.0001701268,0.0001085294,0.8965696,0.0006569186,0.09315073,0.002667794,0.004048065],"study_design_scores_gemma":[0.00001787848,0.00001151726,0.0005905928,0.000005586971,0.000008976328,0.00002387746,0.00001726234,0.9800436,0.00002708237,0.01850364,0.0007410254,0.000009034116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2172202,0.001359813,0.7280753,0.006653763,0.0003577307,0.0001680842,0.005325391,0.0004406687,0.04039904],"genre_scores_gemma":[0.9386835,0.0008470966,0.01999038,0.000375824,0.0001443447,0.0004970329,0.001289595,0.00006382312,0.0381084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01781168,"threshold_uncertainty_score":0.03541601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435431381819496,"score_gpt":0.351881954162053,"score_spread":0.3175276403438581,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}